Kantorovich Version of Vector-Valued Shepard Operators

Loading...
Thumbnail Image

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

MDPI

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

In the present work, in order to approximate integrable vector-valued functions, we study the Kantorovich version of vector-valued Shepard operators. We also display some applications supporting our results by using parametric plots of a surface and a space curve. Finally, we also investigate how nonnegative regular (matrix) summability methods affect the approximation.

Description

Keywords

multivariate approximation, approximation of vector-valued functions, Shepard operators, Kantorovich operators, matrix summability methods, Cesaro summability, Neural-Network Operators, Interpolation, Convergence, multivariate approximation, Shepard operators, Cesàro summability, Neural-Network Operators, Interpolation, matrix summability methods, QA1-939, approximation of vector-valued functions, Kantorovich operators, Convergence, Mathematics, Cesaro summability

Turkish CoHE Thesis Center URL

Fields of Science

01 natural sciences, 0101 mathematics

Citation

Duman, O., Della Vecchia, B., & Erkus-Duman, E. (2024). Kantorovich Version of Vector-Valued Shepard Operators. Axioms, 13(3), 181.

WoS Q

Q2

Scopus Q

N/A
OpenCitations Logo
OpenCitations Citation Count
N/A

Source

Axioms

Volume

13

Issue

3

Start Page

181

End Page

Web of Science™ Citations

1

checked on Dec 15, 2025

Page Views

690

checked on Dec 15, 2025

Downloads

91

checked on Dec 15, 2025

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
1.53290046

Sustainable Development Goals

SDG data is not available